{"id":"W3179889737","doi":"10.1145/3258858","title":"Session details: Mobile interaction","year":2007,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Session (web analytics); Computer science; Mobile interaction; Human–computer interaction; Mobile device; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005071859,0.00002317977,0.0000319357,0.00005624192,0.0001765722,0.00001151806,0.0001446599,0.0000684482,0.001899348],"category_scores_gemma":[0.0001034451,0.00002031253,0.00001514227,0.0001285424,0.00007944403,0.00009390191,0.00002944016,0.00008027905,0.0002701307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004182636,"about_ca_system_score_gemma":0.00001869414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008144301,"about_ca_topic_score_gemma":0.006094422,"domain_scores_codex":[0.999644,0.00003853721,0.00007848635,0.00005423306,0.00008006537,0.0001047169],"domain_scores_gemma":[0.9996341,0.0001322078,0.00002737445,0.0001333493,0.00003461172,0.00003839245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008016793,0.00008120998,0.005658229,0.000001050034,0.000003763823,9.446231e-7,0.00557818,6.840968e-7,0.002230364,0.1167891,0.002484992,0.8671634],"study_design_scores_gemma":[0.00006996833,0.000009995402,0.001072914,0.000002752175,0.000001112844,3.900348e-7,0.01555045,0.00006788697,0.00304879,0.0007409313,0.9793943,0.00004047228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2314834,0.00004577799,0.005909909,0.001555239,0.000325339,0.0001391429,9.025802e-8,0.00035493,0.7601861],"genre_scores_gemma":[0.993645,0.00007845792,0.00244571,0.0001580592,0.00003958714,0.000006415186,0.000001134616,0.000001925202,0.003623723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9769093,"threshold_uncertainty_score":0.9990131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143762154977686,"score_gpt":0.410562004931275,"score_spread":0.3691243833814982,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}